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Conor Higgins
Analytics Engineer with five years building and owning data pipelines at Deliveroo and DAZN, from raw ingestion through to dimensional models and the dashboards that commercial and science teams rely on daily. A lot of that time has gone into making existing systems faster, cheaper and easier to maintain, and more recently into helping teams make proper use of AI tooling. Outside of work, sport and data rarely stay separate: my Masters dissertation was a Bayesian model of Premier League football outcomes.
Education
MSc Statistics
Lancaster University
Lancaster
2019 - 2018
- Merit awarded. Dissertation: ‘Dynamic Bayesian models for predicting Premier League Football outcomes’, applying advanced Bayesian statistical modelling to sports performance data.
BSc Mathematics with Statistics
Lancaster University
Lancaster
2018 - 2015
- Strong quantitative foundation in statistics, probability and mathematical modelling; minor in Chemistry.
Experience
Senior Analytics Engineer
Deliveroo
Remote
Current - 2025
- Built a Snowflake and Python platform that ingests ML model outputs to profile every restaurant on Deliveroo’s global marketplace, forecast their monthly revenue, and surface the highest-value targets for the commercial sales team.
- Cut pipeline runtime from over 4 hours to under 2 by systematically refactoring hundreds of models and rethinking compute allocation, bringing substantial Snowflake cost savings along the way.
- Got the Analytics Engineering function properly set up with AI tooling, writing practical guides and running workshops on Claude and Cursor for analysts and stakeholders; also act as the on-call escalation engineer for major data incidents.
Analytics Engineer
Deliveroo
London
2025 - 2022
- Lead AE for Deliveroo’s restaurant domain, owning the full data stack from ELT pipelines through to dimensional models and the reporting layer that commercial teams relied on daily across all markets.
- Worked closely with Sales, Science and Product to keep the data behind Deliveroo’s most critical Looker dashboards accurate and reliable for senior stakeholders.
- Wrote and maintained production ELT pipelines using a custom in-house orchestration framework, and built Python tooling for pipeline automation, data quality testing and output validation.
Analytics Engineer
DAZN
London
2022 - 2020
- Built DAZN’s first payments data warehouse from scratch on Snowflake and Airflow, creating the company’s only source of truth for invoices, transactions and involuntary churn reporting across a fast-growing global streaming platform.
- Wrote and maintained ELT pipelines using dbt, Airflow and Python; worked with PMs and stakeholders to translate data into product and commercial decisions.
- Partnered with Finance and Product to define and build the payments reporting logic from scratch, genuinely greenfield work with no prior data structure in the domain.